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143235

COMPARATIVE STUDY OF CONTENT BASED IMAGE RETRIEVAL TECHNIQUES FOR BACTERIAL CELLS CLASSIFICATION

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Last updated: 04 Jan 2025

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الحاسب الآلي وتکنولوجيا التعليم

Abstract

Abstract A major challenge in microbial ecology is to develop reliable and facile methods of computer assisted microscopy that can analyze digital images of complex microbial communities at single cell resolution, and compute useful quantitative characteristics of their organization and structure without cultivation. This paper performs a fair comparative study of three most common feature extraction methods  for content based bacterial image classification; Color Coherence Vector (CCV), Gray Level Co-occurrence Matrix (GLCM) and Color Moments. The comparison is made on the basis of these parameters: Run time, CPU time, Recall, F-measure and Precision measures. Performance of Feature Extraction  techniques based on the number of retrieved images, Run time and CPU time. Experiments results are given to analyses the effectiveness of each techniques and how that Color Moments technique is more suitable than other techniques. Keywords: Bacteria - Image processing – CBIR-CCV- GLCM- Color Moments.

DOI

10.21608/mbse.2014.143235

Authors

First Name

S. A.

Last Name

Shaban

MiddleName

-

Affiliation

Dept. of Computer Science Faculty of Specific Education Mansoura, Egypt

Email

-

City

-

Orcid

-

First Name

A. E. E.

Last Name

ElAlfi

MiddleName

-

Affiliation

Dept. of Computer Science Faculty of Specific Education Mansoura, Egypt

Email

-

City

-

Orcid

-

First Name

M. E. E.

Last Name

ElAlmi

MiddleName

-

Affiliation

Dept. of Computer Science Faculty of Specific Education Mansoura, Egypt

Email

-

City

-

Orcid

-

First Name

A. R. M.

Last Name

Elzainy

MiddleName

-

Affiliation

Dept of Home Economy Faculty of Specific Education Mansoura, Egypt

Email

-

City

-

Orcid

-

Volume

2014

Article Issue

35

Related Issue

20782

Issue Date

2014-07-01

Receive Date

2014-05-04

Publish Date

2014-07-01

Page Start

1,413

Page End

1,430

Print ISSN

2314-8683

Online ISSN

2314-8691

Article File

MBSE_Volume 2014_Issue 35_Pages 1413-1430.pdf

PDF . 540.3kB

Link

https://mbse.journals.ekb.eg/article_143235.html

Detail API

https://mbse.journals.ekb.eg/service?article_code=143235

Order

46

Type

مقالات علمیة محکمة

Type Code

1,632

Publication Type

Journal

Publication Title

مجلة بحوث التربية النوعية

Publication Link

https://mbse.journals.ekb.eg/

MainTitle

COMPARATIVE STUDY OF CONTENT BASED IMAGE RETRIEVAL TECHNIQUES FOR BACTERIAL CELLS CLASSIFICATION

Details

Type

Article

Created At

23 Jan 2023